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The Sysmex® UF-500i is an automated urine particle analyzer for in vitro diagnostic use in screening patient populations found in clinical laboratories. The UF-500i analyzes the following parameters in urine samples: RBC, WBC, Epithelial Cells, Cast, and Bacteria and flags the presence of the following: Pathologic Cast, Crystal, Sperm, Small Round Cell, Yeast like cell and Mucus.

The Sysmex® UF-500i, an automated urine particle analyzer, is a dedicated system for the analysis of microscopic formed elements in urine specimens. The instrument consists of three principal units: (1) Main Unit which aspirates, dilutes, mixes and analyzes urine samples; (2) Auto Sampler Unit supplies samples to the Main Unit automatically; (3) IPU (Information Processing Unit) which processes data from the Main Unit and provides the operator interface with the system. The UF-500i is equipped with a Sampler that provides continuous automated sampling for up to 60 tubes. The instrument utilizes Sysmex flow cytometry using a red semiconductor laser for analyzing organized elements of urine. Particle characterization and identification is based on detection of forward scatter, fluorescence and adaptive cluster analysis. Using its own reagents, the UF-500i automatically classifies organized elements of urine and carries out all processes automatically from aspiration of the sample to outputting the results. Analysis results and graphics are displayed on the IPU screen. They can be printed on any of the available printers or transmitted to a Host computer.

The provided document primarily consists of a 510(k) summary for the Sysmex® UF-500i, an automated urine particle analyzer. It focuses on demonstrating substantial equivalence to a predicate device (Sysmex® UF-1000i) rather than presenting a standalone study with detailed acceptance criteria and performance against those criteria in a typical clinical study format.

Therefore, many of the requested details regarding acceptance criteria, sample sizes, ground truth establishment, expert qualifications, and MRMC studies are not explicitly stated within this 510(k) summary. These types of detailed studies are generally performed during the development and validation phases and are summarized or referenced in the 510(k) where substantial equivalence to a known predicate is the primary claim.

Here's an attempt to answer your questions based on the available information:

1. Table of acceptance criteria and the reported device performance

The document does not explicitly state quantitative "acceptance criteria" in the format of a clinical study with specific thresholds for sensitivity, specificity, accuracy, etc. Instead, it refers to "method and flagging comparison studies along with reference interval comparison to the UF-1000i," concluding that "there is no difference between the UF-1000i and the UF-500i."

This implies that the acceptance criterion was demonstrating "no difference" or substantial equivalence to the predicate device (Sysmex® UF-1000i) in terms of its ability to analyze and flag specific parameters.

2. Sample size used for the test set and the data provenance

The document does not specify the exact sample size used for the comparison studies. It also does not explicitly state the country of origin of the data or whether it was retrospective or prospective.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

This information is not provided in the 510(k) summary.

4. Adjudication method (e.g., 2+1, 3+1, none) for the test set

This information is not provided in the 510(k) summary.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, if so, what was the effect size of how much human readers improve with AI vs without AI assistance

An MRMC study is not applicable here because the device is an automated urine particle analyzer. It processes urine samples directly and classifies elements, not assisting human readers with interpretation of images. Therefore, the concept of "human readers improve with AI vs without AI assistance" does not apply to this device.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

Yes, the device (Sysmex® UF-500i) is an automated urine particle analyzer. It operates as a standalone algorithm (flow cytometry and adaptive cluster analysis) without human-in-the-loop for its primary analysis and classification of particles. The comparison studies described in the 510(k) summary would have evaluated this standalone performance against the predicate device.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

The document implies that the ground truth for comparison was the performance of the predicate device, the Sysmex® UF-1000i. The studies focused on demonstrating that "there is no difference" between the UF-500i and the UF-1000i, meaning the UF-1000i's established performance served as the reference or "ground truth" for the comparison. It indicates "method and flagging comparison studies" which would typically involve comparing the results of both instruments on the same samples.

8. The sample size for the training set

The document does not provide information about a "training set" as this device is a substantial equivalence claim to an existing technology (flow cytometry with adaptive cluster analysis) rather than a novel AI/ML algorithm that would typically undergo explicit training on a large dataset. The underlying analysis principles are established.

9. How the ground truth for the training set was established

As there's no explicit mention of a "training set" for a novel AI/ML algorithm in this 510(k) summary, this question is not directly applicable. The device relies on established flow cytometry principles and classification algorithms.

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The Sysmex UF-50 is a fully automated urine cell analyzer intended for in vitro diagnostic use in urinalysis within the clinical laboratory. The UF-50 replaces microscopic review of normal/abnormal specimens and flags specimens containing certain abnormalities which indicate the need for further testing. Laboratorians are responsible for final microscopic review of flagged abnormalities.

The UF-50 is a fully automated urine cell analyzer for urinalysis in clinical laboratories. It analyzes formed elements in urine using flow cytometry technology.

The provided document describes the Sysmex UF-50, a fully automated urine cell analyzer. The document focuses on its substantial equivalence to a predicate device, the Sysmex UF-100.

Here's an analysis of the acceptance criteria and the study that proves the device meets them:

1. A table of acceptance criteria and the reported device performance

The document does not explicitly state numerical acceptance criteria for the UF-50. Instead, the primary "acceptance criterion" is demonstrated by establishing substantial equivalence to the predicate device, the Sysmex UF-100. The reported device performance is that the "correlation results performance correlated to those of the two analyzers, therefore supporting the claim of substantial equivalence."

Since exact numerical criteria are not given, a table would not be directly comparable. However, the qualitative performance is aligned with the predicate device.

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

• Sample Size for Test Set: The document does not specify the exact sample size for the correlation studies. It generally refers to "correlation studies."
• Data Provenance: Not specified. It's unclear if the data was retrospective or prospective, or the country of origin.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

This information is not explicitly provided. Given that the study focuses on correlating the UF-50 to a predicate device (UF-100) and that the UF-50 flags specimens for "final microscopic review of abnormalities" by laboratorians, it's highly probable that a "ground truth" might have involved microscopic review by qualified laboratorians, but the number and qualifications are not detailed.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

The document does not describe any specific adjudication method for establishing ground truth, as the primary comparison is between the UF-50 and UF-100.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

• MRMC Study: No, a multi-reader multi-case comparative effectiveness study was not done. The study compares the UF-50 (an automated analyzer) to another automated analyzer (UF-100), not human readers with and without AI assistance.
• Effect Size: Not applicable, as no such study was performed. The device is intended to flag specimens for human review, not to improve human reader performance directly.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

Yes, a standalone study of the algorithm's performance was done. The "Clinical Performance Data" section describes "Correlation studies were performed to evaluate the equivalency of the UF-50 performance compared to the predicate device, the UF-100." This indicates that the UF-50's performance was evaluated independently, comparing its output directly to the predicate device's output. The device itself is described as a "fully automated urine cell analyzer" performing "in vitro diagnostic use," implying standalone operation to generate results that are then compared.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

The ground truth for the correlation studies appears to be the results obtained from the predicate device, the Sysmex UF-100. The study "evaluate[d] the equivalency of the UF-50 performance compared to the predicate device, the UF-100." Therefore, the UF-100's performance served as the reference for determining the UF-50's equivalency.

8. The sample size for the training set

The document does not describe a "training set" in the context of machine learning. The UF-50 is described as using "flow cytometry technology," which is a well-established analytical method, not typically associated with machine learning training sets in the same way an AI algorithm might be.

9. How the ground truth for the training set was established

Not applicable, as no machine learning training set is described.

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